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Analysis of Geospatial Production Factors on Rice Productivity at IP 200 in Muara Lawai Village Muara Enim Regency of South Sumatra

Journal of Smart Agriculture and Environmental Technology · Vol. 4 No. 2 (2026) · hlm. 82–88

DOI
10.60105/josaet.2026.4.2.82-88
ISSN
3021-8802
Terbit
2026-08-13
Penerbit
Institut Teknologi Sumatera

Abstrak

This study aims to analyze the effects of production factors and spatial patterns on rice productivity under the CI 200 cropping system in Muara Lawai Village, Muara Enim Regency. The study is motivated by limited land availability, high cropping intensity, and variability in input management among farmers, resulting in heterogeneous productivity. A survey method involving 30 farmers was applied, followed by descriptive analysis, Cobb-Douglas regression, and GIS-based geospatial analysis. The results indicate that land area, rice variety, weed control, and fertilizer combination significantly affect rice productivity. The combination of NPK, urea, and liquid organic fertilizer (POC) is the most dominant factor (β = 0.300), followed by variety (0.220), weed control (0.180), and land area (0.280). The Adjusted R2 value of 0.686 indicates strong explanatory power. Geospatial analysis reveals spatial heterogeneity influenced by irrigation conditions, accessibility, and input distribution. The study concludes that productivity improvement under CI 200 depends on integrated and site-specific management of production factors rather than land expansion.

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Nurhayati DamiriAfiliasi tidak diketahui4
Mukhtarudin MuchsiriAfiliasi tidak diketahui4
Nur Aslamiah SupliAfiliasi tidak diketahui4
Abid DjazuliAfiliasi tidak diketahui4
Neni MarlinaAfiliasi tidak diketahui4
Dina BadriahAfiliasi tidak diketahui4
Rahmad BasukiAfiliasi tidak diketahui3
Ahmad Affandi SupliAfiliasi tidak diketahui2
Iin Siti AminahAfiliasi tidak diketahui2
Rosmiah RosmiahAfiliasi tidak diketahui2
Supli Effendi RahimAfiliasi tidak diketahui2
- FitrianiAfiliasi tidak diketahui2
Raden Iin Siti AminahAfiliasi tidak diketahui2
Mustopa Marli BatubaraAfiliasi tidak diketahui2
Ade MurtadoAfiliasi tidak diketahui2
Yudha ElfamaAfiliasi tidak diketahui2
RositaAfiliasi tidak diketahui2
Anita NataliaAfiliasi tidak diketahui2
Muhammad YusupAfiliasi tidak diketahui2
LucyanaAfiliasi tidak diketahui2
Ari SaputraAfiliasi tidak diketahui2
Eka Yuliana FitrianiAfiliasi tidak diketahui2
Herlianto SapsidiAfiliasi tidak diketahui2
Deddy PermanaAfiliasi tidak diketahui2
NoviyadiAfiliasi tidak diketahui2
Andi FebriansaAfiliasi tidak diketahui2
MukhlisAfiliasi tidak diketahui2
Oka MarisAfiliasi tidak diketahui2
MarwaniAfiliasi tidak diketahui2
Nia FitriaAfiliasi tidak diketahui2
Ervizal Amir Muhammad ZuhudAfiliasi tidak diketahui1
Fitri AniAfiliasi tidak diketahui1

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Sumber metadata: Crossref API (cadangan, berdasarkan ISSN) https://api.crossref.org/journals/3021-8802/works, pertama di-harvest 5 Nov 2026, terakhir terlihat 5 Nov 2026.
Metadata sebagai oai_dc, dikonversi dari Crossref
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/"><dc:title>Analysis of Geospatial Production Factors on Rice Productivity at IP 200 in Muara Lawai Village Muara Enim Regency of South Sumatra</dc:title><dc:creator>Rahim, Supli</dc:creator><dc:creator>Sulistyani, Dian</dc:creator><dc:creator>Helida, Asvic</dc:creator><dc:description>&lt;jats:p&gt;This study aims to analyze the effects of production factors and spatial patterns on rice productivity under the CI 200 cropping system in Muara Lawai Village, Muara Enim  Regency. The study is motivated by limited land availability, high cropping intensity, and variability in input management among farmers, resulting in heterogeneous productivity. A survey method involving 30 farmers was applied, followed by descriptive analysis, Cobb-Douglas regression, and GIS-based geospatial analysis. The results indicate that land area, rice variety, weed control, and fertilizer combination significantly affect rice productivity. The combination of NPK, urea, and liquid organic fertilizer (POC) is the most dominant factor (β = 0.300), followed by variety (0.220), weed control (0.180), and land area (0.280). The Adjusted R2 value of 0.686 indicates strong explanatory power. Geospatial analysis reveals spatial heterogeneity influenced by irrigation conditions, accessibility, and input distribution. The study concludes that productivity improvement under CI 200 depends on integrated and site-specific management of production factors rather than land expansion. &lt;/jats:p&gt;</dc:description><dc:publisher>Institut Teknologi Sumatera</dc:publisher><dc:date>2026-08-13</dc:date><dc:type>info:eu-repo/semantics/article</dc:type><dc:format>application/pdf</dc:format><dc:identifier>https://doi.org/10.60105/josaet.2026.4.2.82-88</dc:identifier><dc:identifier>10.60105/josaet.2026.4.2.82-88</dc:identifier><dc:source>Journal of Smart Agriculture and Environmental Technology; Vol 4 No 2 (2026); 82-88</dc:source><dc:source>3021-8802</dc:source><dc:relation>https://josaet.com/index.php/smartagrienvitech/article/download/130/72</dc:relation></oai_dc:dc>